Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32749 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32749 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8924, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.901, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.901, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8613, kappa: 0.6697, kb_relative_information_score: 0.6231, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9609, kappa: 0.9043, kb_relative_information_score: 0.8962, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8613, kappa: 0.6697, kb_relative_information_score: 0.6231, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9609, kappa: 0.9043, kb_relative_information_score: 0.8962, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.955, kappa: 0.8899, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9607, kappa: 0.9035, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9605, kappa: 0.9028, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9607, kappa: 0.9035, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9571, kappa: 0.8949, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9571, kappa: 0.8949, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9641, kappa: 0.9117, kb_relative_information_score: 0.905, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 0.9014, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9585, kappa: 0.8983, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9585, kappa: 0.8983, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9597, kappa: 0.901, kb_relative_information_score: 0.8932, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9638, kappa: 0.911, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9067, kappa: 0.7738, kb_relative_information_score: 0.7497, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9084, predictive_accuracy: 0.9058, prior_entropy: 0.863, recall: 0.9058, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9067, kappa: 0.7738, kb_relative_information_score: 0.7497, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9084, predictive_accuracy: 0.9058, prior_entropy: 0.863, recall: 0.9058, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 0.9014, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9638, kappa: 0.911, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9641, kappa: 0.9117, kb_relative_information_score: 0.905, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9629, kappa: 0.9092, kb_relative_information_score: 0.9016, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9629, kappa: 0.9092, kb_relative_information_score: 0.9016, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9188, kappa: 0.8031, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9042, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9501, kappa: 0.8786, kb_relative_information_score: 0.8666, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9647, kappa: 0.9131, kb_relative_information_score: 0.9064, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6806, kappa: 0.2836, kb_relative_information_score: 0.1128, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7183, predictive_accuracy: 0.6661, prior_entropy: 0.863, recall: 0.6661, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.2792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 0.8775, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9188, kappa: 0.8031, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9501, kappa: 0.8786, kb_relative_information_score: 0.8666, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9042, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 0.9064, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 0.9064, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6806, kappa: 0.2836, kb_relative_information_score: 0.1128, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7183, predictive_accuracy: 0.6661, prior_entropy: 0.863, recall: 0.6661, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.2792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 0.9076, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 0.9076, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.955, kappa: 0.8902, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9594, kappa: 0.9005, kb_relative_information_score: 0.8923, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8985, kappa: 0.7566, kb_relative_information_score: 0.7256, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9032, predictive_accuracy: 0.8967, prior_entropy: 0.863, recall: 0.8967, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8985, kappa: 0.7566, kb_relative_information_score: 0.7256, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9032, predictive_accuracy: 0.8967, prior_entropy: 0.863, recall: 0.8967, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8924, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.955, kappa: 0.8902, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9594, kappa: 0.9005, kb_relative_information_score: 0.8923, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9521, kappa: 0.8827, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9578, kappa: 0.8964, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9521, kappa: 0.8827, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9304, kappa: 0.8299, kb_relative_information_score: 0.8145, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9304, kappa: 0.8299, kb_relative_information_score: 0.8145, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8153, kappa: 0.5752, kb_relative_information_score: 0.4903, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8391, predictive_accuracy: 0.8082, prior_entropy: 0.863, recall: 0.8082, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9595, kappa: 0.9007, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9595, kappa: 0.9007, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9578, kappa: 0.8964, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8153, kappa: 0.5752, kb_relative_information_score: 0.4903, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8391, predictive_accuracy: 0.8082, prior_entropy: 0.863, recall: 0.8082, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9596, kappa: 0.9008, kb_relative_information_score: 0.8928, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9596, kappa: 0.9008, kb_relative_information_score: 0.8928, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9443, kappa: 0.8637, kb_relative_information_score: 0.8521, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.9338, kappa: 0.8396, kb_relative_information_score: 0.8224, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8719, kappa: 0.6949, kb_relative_information_score: 0.6522, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8792, predictive_accuracy: 0.8691, prior_entropy: 0.863, recall: 0.8691, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8719, kappa: 0.6949, kb_relative_information_score: 0.6522, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8792, predictive_accuracy: 0.8691, prior_entropy: 0.863, recall: 0.8691, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9611, kappa: 0.9047, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9611, kappa: 0.9047, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.9338, kappa: 0.8396, kb_relative_information_score: 0.8224, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9458, kappa: 0.8665, kb_relative_information_score: 0.8569, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8413, kappa: 0.624, kb_relative_information_score: 0.5675, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8512, predictive_accuracy: 0.8372, prior_entropy: 0.863, recall: 0.8372, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9418, kappa: 0.8578, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8413, kappa: 0.624, kb_relative_information_score: 0.5675, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8512, predictive_accuracy: 0.8372, prior_entropy: 0.863, recall: 0.8372, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9443, kappa: 0.8637, kb_relative_information_score: 0.8521, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9458, kappa: 0.8665, kb_relative_information_score: 0.8569, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 0.8989, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9542, kappa: 0.8878, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9418, kappa: 0.8578, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 0.8989, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9542, kappa: 0.8878, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9607, kappa: 0.9036, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9607, kappa: 0.9036, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9435, kappa: 0.8618, kb_relative_information_score: 0.8497, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 0.895, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 0.895, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4401,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs